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Mohking1

maildoc

by Mohking1

maildoc

轻量级电子邮件搜索、附件检索和 PDF 提取工具,适用于 AI 智能体和自动化。

设置

pip install -r requirements.txt

.env 中设置凭据(参见 .env.example):

GMAIL_USERNAME=user@example.com
GMAIL_APP_PASSWORD=your_app_password

快速开始

from maildoc import search_emails, download_attachment, extract_pdf_text

# Search emails with attachments
emails = search_emails(
    sender="billing@example.com",
    with_attachments=True,
    limit=5,
)

# Download and extract text from PDF attachments (with optional password for protected files)
for email in emails:
    for att in email["attachments"]:
        if att["filename"].endswith(".pdf"):
            pdf_bytes = download_attachment(email["uid"], att["filename"])
            if pdf_bytes:
                # Pass password if the PDF is password-protected (e.g., bank statements)
                text = extract_pdf_text(pdf_bytes, password="optional_password")
                print(text)

MCP 服务器(Claude Desktop / Cursor / Antigravity)

作为 Model Context Protocol (MCP) 服务器运行:

python server.py

示例 claude_desktop_config.json

{
  "mcpServers": {
    "maildoc": {
      "command": "python",
      "args": ["/absolute/path/to/maildoc/server.py"],
      "env": {
        "GMAIL_USERNAME": "user@example.com",
        "GMAIL_APP_PASSWORD": "your_app_password"
      }
    }
  }
}

工具参考

电子邮件与搜索

  • search_emails(sender, subject, body, seen, date_gte, date_lt, with_attachments, folder, limit):搜索邮箱并返回结构化字典。

  • fetch_email_by_uid(uid, folder):按 UID 获取单个电子邮件。

  • list_folders():列出邮箱文件夹。

  • mark_email_as_read(uid, folder):将电子邮件标记为已读。

  • move_email(uid, destination_folder, source_folder):在文件夹之间移动电子邮件。

  • delete_email(uid, folder):删除电子邮件。

  • create_folder(folder_name):创建邮箱文件夹。

  • delete_folder(folder_name):删除邮箱文件夹。

  • connect_to_email()disconnect_from_email():连接生命周期辅助函数。

PDF 提取

  • read_pdf_attachment(uid, attachment_filename, password=None, folder="INBOX"):下载附件并直接一步提取其文本(非常适合 MCP / AI 智能体)。

  • extract_pdf_text(pdf_bytes, password=None):从 PDF 字节中提取全部文本。

  • extract_pdf_page_text(pdf_bytes, page_number, password=None):从特定页面(从 1 开始索引)提取文本。

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quality - not tested
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